US6069982A
Expired / Lapsed
US
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Estimation of frequency dependence and grey-level dependence of noise in an image
Assignee: Cabier Institute Sl
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Filing: 1997-12-23
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Granted: 2000-05-30
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Expires: 2017-12-23
Abstract
Abstract Estimating spatial noise characteristics associated with an image acquired from an unknown digital image acquisition device is accomplished by a method, or system, which: provides predetermined default spatial noise characteristic information of the unknown digital image acquisition device; gathers user information related to the spatial noise characteristics of the unknown digital image acquisition device; gathers, from the acquired image, image data related to the spatial noise characteristics of the unknown digital image acquisition device; generates replacement data in response to the user information and the image data; and updates the predetermined default spatial noise characteristic information with the replacement data.
Inventors
- 👤 Steven R. Reuman
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 12:00
CPC Classifications
G; G06; G06T; G06T5/00; G06T5/70; G06T5/20
Claims Analysis
Total Claims: 31
Claim 1
Independent Claim
84 words
Estimating spatial noise characteristics associated with an image acquired from a digital image acquisition device having unknown spatial noise characteristics, by a method comprising the steps of: providing predetermined default values for the spatial noise characteristics of the digital image acquisition device; gathering information related to the spatial noise characteristics of the digital image acquisition device; generating replacement data in response to said gathered information; and updating said predetermined default spatial noise characteristics associated with the digital image acquisition device with said replacement data.
Claim 2
Dependent Claim
84 words
Estimating spatial noise characteristics associated with an image acquired from a digital image acquisition device having unknown spatial noise characteristics, by a method comprising the steps of: providing predetermined default values for the spatial noise characteristics of the digital image acquisition device; gathering information related to the spatial noise characteristics of the digital image acquisition device; generating replacement data in response to said gathered information; and updating said predetermined default spatial noise characteristics associated with the digital image acquisition device with said replacement data.
Claim 3
Dependent Claim
27 words
The method of claim 1 wherein the step of gathering information comprises gathering user information related to the spatial noise characteristics of the digital image acquisition device.
Claim 4
Dependent Claim
27 words
The method of claim 2 wherein said user information relates to compression, decompression, sharpening, interpolation, input device class, input device resolution, scan dots-per-inch and approximate noise levels.
Claim 5
Dependent Claim
31 words
The method of claim 1 wherein the step of gathering information comprises gathering, from the acquired image, image data related to the spatial noise characteristics of the digital image acquisition device.
Claim 6
Dependent Claim
27 words
The method of claim 4 wherein said image data relates to compression, decompression, sharpening, interpolation, input device class, input device resolution, scan dots-per-inch and approximate noise levels.
Claim 7
Dependent Claim
35 words
The method of claim 1 wherein the step of generating replacement data comprises producing the replacement data as luminance variance values occurring at predetermined grey-levels in each luminance and chrominance band of the acquired image.
Claim 8
Dependent Claim
15 words
The method of claim 6 wherein said luminance variance values are represented in look-up tables.
Claim 9
Dependent Claim
27 words
The method of claim 1 wherein the step of generating replacement data comprises producing the replacement data as average power of noise blocks in the acquired image.
Claim 10
Dependent Claim
23 words
The method of claim 8 wherein the average power of the noise blocks is represented in a frequency domain as a noise mask.
Claim 11
Dependent Claim
25 words
The method of claim 1 wherein the predetermined default values are established by averaging spatial noise characteristic information from a plurality of image acquisition devices.
Claim 12
Dependent Claim
100 words
In an image processing system, a method for generating noise tags of a spatial profile of an image acquisition device, the method comprising the steps of: generating default values of the noise tags; gathering user knowledge of spatial noise characteristics associated with the noise tags; gathering image data, from an image acquired by the image acquisition device, related to the spatial noise characteristics associated with the noise tags; generating replacement data in response to said user knowledge and said image data; and updating said default values of the noise tags associated with the image acquisition device with said replacement data.
Claim 13
Dependent Claim
100 words
In an image processing system, a method for generating noise tags of a spatial profile of an image acquisition device, the method comprising the steps of: generating default values of the noise tags; gathering user knowledge of spatial noise characteristics associated with the noise tags; gathering image data, from an image acquired by the image acquisition device, related to the spatial noise characteristics associated with the noise tags; generating replacement data in response to said user knowledge and said image data; and updating said default values of the noise tags associated with the image acquisition device with said replacement data.
Claim 14
Dependent Claim
35 words
The method of claim 11 wherein the step of generating replacement data comprises producing the replacement data as luminance variance values occurring at predetermined grey-levels in each luminance and chrominance band of the acquired image.
Claim 15
Dependent Claim
15 words
The method of claim 12 wherein said luminance variance values are represented in look-up tables.
Claim 16
Dependent Claim
29 words
The method of claim 11 wherein the step of generating replacement data comprises producing the replacement data as average frequency domain power of noise blocks in the acquired image.
Claim 17
Dependent Claim
21 words
The method of claim 14 wherein the average frequency domain power of the noise blocks is represented as a noise mask.
Claim 18
Dependent Claim
28 words
The method of claim 11 wherein said default values of the noise tags are established by averaging spatial noise characteristic information from a plurality of image acquisition devices.
Claim 19
Dependent Claim
27 words
The method of claim 11 wherein said user information relates to compression, decompression, sharpening, interpolation, input device class, input device resolution, scan dots-per-inch and approximate noise levels.
Claim 20
Dependent Claim
27 words
The method of claim 11 wherein said image data relates to compression, decompression, sharpening, interpolation, input device class, input device resolution, scan dots-per-inch and approximate noise levels.
Claim 21
Independent Claim
91 words
A system for estimating spatial noise characteristics associated with an image acquired from a digital image acquisition device having unknown spatial noise characteristics, the system comprising: means for providing predetermined default values of the spatial noise characteristics of the digital image acquisition device; means for gathering information related to the spatial noise characteristics of the digital image acquisition device; means for generating replacement data in response to said gathered information; and means for updating said predetermined default spatial noise characteristics associated with the digital image acquisition device with said replacement data.
Claim 22
Independent Claim
91 words
A system for estimating spatial noise characteristics associated with an image acquired from a digital image acquisition device having unknown spatial noise characteristics, the system comprising: means for providing predetermined default values of the spatial noise characteristics of the digital image acquisition device; means for gathering information related to the spatial noise characteristics of the digital image acquisition device; means for generating replacement data in response to said gathered information; and means for updating said predetermined default spatial noise characteristics associated with the digital image acquisition device with said replacement data.
Claim 23
Dependent Claim
29 words
The system of claim 19 wherein the means for gathering information comprises means for gathering user information related to the spatial noise characteristics of the digital image acquisition device.
Claim 24
Dependent Claim
27 words
The system of claim 20 wherein said user information relates to compression, decompression, sharpening, interpolation, input device class, input device resolution, scan dots-per-inch and approximate noise levels.
Claim 25
Dependent Claim
33 words
The system of claim 19 wherein the means for gathering information comprises means for gathering, from the acquired image, image data related to the spatial noise characteristics of the digital image acquisition device.
Claim 26
Dependent Claim
27 words
The system of claim 22 wherein said image data relates to compression, decompression, sharpening, interpolation, input device class, input device resolution, scan dots-per-inch and approximate noise levels.
Claim 27
Dependent Claim
37 words
The system of claim 19 wherein the means for generating replacement data comprises means for producing the replacement data as luminance variance values occurring at predetermined grey-levels in each luminance and chrominance band of the acquired image.
Claim 28
Dependent Claim
15 words
The system of claim 24 wherein said luminance variance values are represented in look-up tables.
Claim 29
Dependent Claim
29 words
The system of claim 19 wherein the means for generating replacement data comprises means for producing the replacement data as average power of noise blocks in the acquired image.
Claim 30
Dependent Claim
23 words
The system of claim 26 wherein the average power of the noise blocks is represented in a frequency domain as a noise mask.
Claim 31
Dependent Claim
25 words
The system of claim 19 wherein the predetermined default values are established by averaging spatial noise characteristic information from a plurality of image acquisition devices.
References Cited (Backward Citations)
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2003-05-30 | 2003-11-29 | 2004-05-30 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2007-05-30 | 2007-11-29 | 2008-05-30 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2011-05-30 | 2011-11-29 | 2012-05-30 | $7700.00 | Window Closed / Lapsed |